- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Gallitz, O.; Candido, O. D.; Botsch, M.; Utschick, W.
- Titel:
- Interpretable Feature Generation using Deep Neural Networks and its Application to Lane Change Detection
- Stichworte:
- Time series analysis; Kernel; Convolution; Feature extraction; Finite impulse response filters; Neural networks; Heating systems
- Kongress- / Buchtitel:
- 2019 IEEE Intelligent Transportation Systems Conference (ITSC)
- Jahr:
- 2019
- Monat:
- Oct
- Seiten:
- 3405-3411
- Volltext / DOI:
- doi:10.1109/ITSC.2019.8917524
BibTeX